Search Results for author: Karthik A. Sankararaman

Found 3 papers, 0 papers with code

Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources

no code implementations22 Nov 2017 John P. Dickerson, Karthik A. Sankararaman, Aravind Srinivasan, Pan Xu

Prior work addresses online bipartite matching markets, where agents arrive over time and are dynamically matched to a known set of disposable resources.

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent

no code implementations15 Apr 2019 Karthik A. Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

Our results show that, for popular initialization techniques, increasing the width of neural networks leads to lower gradient confusion, and thus faster model training.

The Effect of Neural Net Architecture on Gradient Confusion & Training Performance

no code implementations25 Sep 2019 Karthik A. Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

Through novel theoretical and experimental results, we show how the neural net architecture affects gradient confusion, and thus the efficiency of training.

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